Mladen Miletić

About Mladen Miletić

Mladen Miletić, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Sveucilište u Zagrebu, specializes in the field of traffic engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

Reinforcement learning-based dynamic zone positions for mixed traffic flow variable speed limit control with congestion detection

Air Pollution Modeling for Sustainable Urban Mobility with COVID-19 Impact Analysis: Case Study of Skopje

Impact of Connected Vehicles on Learning based Adaptive Traffic Control Systems

A review of reinforcement learning applications in adaptive traffic signal control

Influence of variable speed limit control on fuel and electric energy consumption, and exhaust gas emissions in mixed traffic flows

Impact of the connected vehicles penetration rate on the speed transition matrices accuracy

Combining neural gas and reinforcement learning for adaptive traffic signal control

Creating representative urban motorway traffic scenarios: initial observations

Mladen Miletić Information

University

Position

Faculty of Transport and Traffic Sciences

Citations(all)

208

Citations(since 2020)

201

Cited By

40

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Mladen Miletić Skills & Research Interests

traffic engineering

Top articles of Mladen Miletić

Reinforcement learning-based dynamic zone positions for mixed traffic flow variable speed limit control with congestion detection

Machines

2023/11/28

Air Pollution Modeling for Sustainable Urban Mobility with COVID-19 Impact Analysis: Case Study of Skopje

Sustainability

2023/1/11

Impact of Connected Vehicles on Learning based Adaptive Traffic Control Systems

2022/10/9

A review of reinforcement learning applications in adaptive traffic signal control

2022/10

Influence of variable speed limit control on fuel and electric energy consumption, and exhaust gas emissions in mixed traffic flows

Sustainability

2022/1/14

Impact of the connected vehicles penetration rate on the speed transition matrices accuracy

Transportation Research Procedia

2022/1/1

Mladen Miletić
Mladen Miletić

H-Index: 3

Edouard Ivanjko
Edouard Ivanjko

H-Index: 10

Combining neural gas and reinforcement learning for adaptive traffic signal control

2021/9/13

Creating representative urban motorway traffic scenarios: initial observations

2021/9/13

Reinforcement learning based variable speed limit control for mixed traffic flows

2021/6/22

In-Depth Evaluation of Reinforcement Learning Based Adaptive Traffic Signal Control Using TSCLAB

Transformation of Transportation

2021

Mladen Miletić
Mladen Miletić

H-Index: 3

Edouard Ivanjko
Edouard Ivanjko

H-Index: 10

State complexity reduction in reinforcement learning based adaptive traffic signal control

2020/9/14

Creating A Data-Set For Sustainable Urban Mobility Analysis: Lessons Learned

2020/9/14

An overview of reinforcement learning methods for variable speed limit control

2020/7/17

Application of Deep Reinforcement Learning in Traffic Signal Control: An Overview and Impact of Open Traffic Data

2020/6/10

See List of Professors in Mladen Miletić University(Sveucilište u Zagrebu)

Co-Authors

academic-engine